Zobrazeno 1 - 10
of 2 265
pro vyhledávání: '"WANG Lizhen"'
Autor:
Wang Lizhen
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Taking English microclasses as an example, this paper analyzes the practical operation of flipped classroom teaching in the reform of higher vocational English teaching from the three phases of pre-course, in-course and post-course. Comparing and ana
Externí odkaz:
https://doaj.org/article/9121007cb7154373a183b12d502a2036
Autor:
Deng, Xiang, Pang, Youxin, Zhao, Xiaochen, Xu, Chao, Wang, Lizhen, Xiao, Hongjiang, Yan, Shi, Zhang, Hongwen, Liu, Yebin
This paper introduces Stereo-Talker, a novel one-shot audio-driven human video synthesis system that generates 3D talking videos with precise lip synchronization, expressive body gestures, temporally consistent photo-realistic quality, and continuous
Externí odkaz:
http://arxiv.org/abs/2410.23836
Synthesizing high-fidelity and emotion-controllable talking video portraits, with audio-lip sync, vivid expressions, realistic head poses, and eye blinks, has been an important and challenging task in recent years. Most existing methods suffer in ach
Externí odkaz:
http://arxiv.org/abs/2312.07669
Autor:
Chen, Yufan, Wang, Lizhen, Li, Qijing, Xiao, Hongjiang, Zhang, Shengping, Yao, Hongxun, Liu, Yebin
The ability to animate photo-realistic head avatars reconstructed from monocular portrait video sequences represents a crucial step in bridging the gap between the virtual and real worlds. Recent advancements in head avatar techniques, including expl
Externí odkaz:
http://arxiv.org/abs/2312.04558
While high fidelity and efficiency are central to the creation of digital head avatars, recent methods relying on 2D or 3D generative models often experience limitations such as shape distortion, expression inaccuracy, and identity flickering. Additi
Externí odkaz:
http://arxiv.org/abs/2312.02222
Modeling animatable human avatars from RGB videos is a long-standing and challenging problem. Recent works usually adopt MLP-based neural radiance fields (NeRF) to represent 3D humans, but it remains difficult for pure MLPs to regress pose-dependent
Externí odkaz:
http://arxiv.org/abs/2311.16096
Publikováno v:
E3S Web of Conferences, Vol 257, p 02024 (2021)
The relationship between water and energy is extremely close and complex, especially in water use system. However, the energy consumption of water systems has been ignored in water resources management due to the lack of deep understanding of the wat
Externí odkaz:
https://doaj.org/article/79ecafbf9d4d44f188bea102622dfb2f
We present DreamCraft3D, a hierarchical 3D content generation method that produces high-fidelity and coherent 3D objects. We tackle the problem by leveraging a 2D reference image to guide the stages of geometry sculpting and texture boosting. A centr
Externí odkaz:
http://arxiv.org/abs/2310.16818
The problem of modeling an animatable 3D human head avatar under light-weight setups is of significant importance but has not been well solved. Existing 3D representations either perform well in the realism of portrait images synthesis or the accurac
Externí odkaz:
http://arxiv.org/abs/2309.17128